New opportunities and challenges for conservation evidence synthesis from advances in natural language processing.

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Bibliographic Details
Title: New opportunities and challenges for conservation evidence synthesis from advances in natural language processing.
Authors: Chang CH; Department of Biology and Environmental Analysis Program, Pomona College, Claremont, California, USA., Cook-Patton SC; The Nature Conservancy, Arlington, Virginia, USA., Erbaugh JT; Department of Environmental Studies, Dartmouth College, Hanover, New Hampshire, USA., Lu L; Jornada Experimental Range, New Mexico State University, Las Cruces, New Mexico, USA., Masuda YJ; Paul G. Allen Family Foundation, Seattle, Washington, USA., Molnár I; Lexunit Zrt, Budapest, Hungary., Papp D; Lexunit Zrt, Budapest, Hungary.; Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary., Robinson BE; Department of Geography, McGill University, Montreal, Quebec, Canada.
Source: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2025 Apr; Vol. 39 (2), pp. e14464.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Blackwell Publishing, Inc. on behalf of the Society for Conservation Biology Country of Publication: United States NLM ID: 9882301 Publication Model: Print Cited Medium: Internet ISSN: 1523-1739 (Electronic) Linking ISSN: 08888892 NLM ISO Abbreviation: Conserv Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1523-1739
DOI:10.1111/cobi.14464